Interval Compositional Data: Problems and Possibilities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33151356" target="_blank" >RIV/61989592:15310/15:33151356 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >http://dx.doi.org/10.1007/978-3-319-10765-3_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-10765-3_4" target="_blank" >10.1007/978-3-319-10765-3_4</a>
Alternative languages
Result language
angličtina
Original language name
Interval Compositional Data: Problems and Possibilities
Original language description
In statistics, compositional data are defined as multivariate observations that quantitatively describe contributions of parts on a whole, carrying exclusively relative information. As a consequence, compositions can be represented as proportions or percentages without loss of information (contained in ratios between parts). Nevertheless, in the practice parts of compositional data are frequently formed by intervals; for example, concentrations of chemical elements are provided not as exact numbers, butrather in an interval range. Intuitively, a natural question arises, whether the relative information is preserved, when the original compositional data with interval-valued parts are represented in proportions. Namely, from the arithmetic properties ofinterval data, normalizing of intervals does not simply follow the case of real values, but a special procedure according to constrained interval arithmetic is needed. The aim of the contribution is to discuss possibilities of representi
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Strengthening Links Between Data Analysis and Soft Computing
ISBN
978-3-319-10764-6
Number of pages of the result
8
Pages from-to
29-36
Number of pages of the book
294
Publisher name
Springer
Place of publication
Heidelberg
UT code for WoS chapter
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